OpenShift & it’s Industry use-cases

OpenShift is a cloud improvement Platform as a Service (PaaS) created by Red Hat. It is an open-source improvement stage, which empowers designers to develop and deploy their applications on cloud infrastructure. OpenShift Container Platform brings Docker and Kubernetes and provides an API to deal with these administrations. OpenShift Container Platform permits you to make and oversee compartments.

Red Hat OpenShift incorporates an enterprise-grade Linux operating system, container runtime, networking, monitoring, registry, and authentication and authorization solutions. Automate the life-cycle management to get expanded security, custom-fitted tasks arrangements, simple to-oversee group activities, and application portability.

Openshift helps us in making the application lifecycle automatic. It helps connect the end-to-end connection from the developer to the production and helps deploy development and monitoring to keep the system alive. It is capable of managing applications written in different languages, such as Node.js, Ruby, Python, Perl, and Java. One of the key features of OpenShift is it is extensible, which helps the users support the application written in other languages.

OpenShift comes with various concepts of virtualization as its abstraction layer. The underlying concept behind OpenShift is based on virtualization. RedHat is a Platform as a Service(PaaS), which helps us develop and deploy our application on the cloud. Here containers are the smallest. When we launch our application, there are various steps involved. This occurs in various steps, including developing the code, code on the source code management tool, and performing testing on the production environment. After this, we deploy the application, and clients will increase the traffic, and we again need to be managing all the servers to keep them alive. If any changes or updates come in the code, the developer needs to push it, the testing team needs to evaluate, and then go on production.


OpenShift is a layered system wherein each layer is tightly bound with the other layer using Kubernetes and Docker clusters. The architecture of OpenShift is designed to support and manage Docker containers, which are hosted on top of all the layers using Kubernetes. OpenShift Container Platform has a microservices-based architecture of smaller, decoupled units that work together. It runs on top of a Kubernetes cluster, with data about the objects stored in etcd, a reliable clustered key-value store. Unlike the earlier version of OpenShift V2, the new version of OpenShift V3 supports containerized infrastructure. In this model, Docker helps in the creation of lightweight Linux-based containers and Kubernetes supports the task of orchestrating and managing containers on multiple hosts.

Kubernetes Master Machine Components

Etcd − It stores the configuration information, which can be used by each of the nodes in the cluster. It is a distributed key-value store that is accessible to all.

API Server − Kubernetes is an API server that provides all the operations on the cluster using the API. It exposes the Kubernetes API.

Controller Manager − This component is responsible for most of the collectors that regulate the state of the cluster and perform a task. It can be considered as a daemon that runs in a non-terminating loop and is responsible for collecting and sending information to the API server.

Scheduler − It is a service in the master which is responsible for distributing the workload. It is responsible for tracking the utilization of working load on cluster nodes and then placing the workload on which resources are available and accepting the workload.

Kubernetes Node Components

Docker − It helps in running the encapsulated application containers in a relatively isolated but lightweight operating environment.

Kubelet Service − It is responsible for relaying information to and from the control plane service. It interacts with the etcd store to read the configuration details and Wright values.

Kubernetes Proxy Service − This is a proxy service that runs on each node and helps in making the services available to the external host. It helps in forwarding the request to correct containers. It is capable of carrying out primitive load balancing.

Features of OpenShift

  1. Autoscaling of Containers provides cloud elasticity by automatically scaling horizontal pods as application load grows and thus reduces the need to manually increase the containers.
  2. Open-source standards — Incorporates both Open Containers Initiative (OCI)/Docker-formatted containers and Kubernetes for container orchestration, in addition to other open source technologies.
  3. Self-service provisioning — Developers can quickly and easily create applications on-demand from the tools they use most, while operations retain full control over the entire environment.
  4. Persistent storage — By providing support for persistent storage, the OpenShift Container Platform allows users to run both stateful applications and cloud-native stateless applications.
  5. Multi-language support — Developers can easily use various languages, frameworks, and databases on the same platform.
  6. Automation — Streamlined and automated container and application builds, deployments, scaling, health management, and more are standard with OpenShift Container Platform.
  7. User interfaces — Developers have direct access to a rich set of command-line tools, a multi-device web console, an Eclipse-based integrated development environment (IDEs), such as Red Hat.
  8. Operational management — Red Hat Monitoring included in OpenShift Container Platform, gives users real-time visibility into their containerized application and infrastructure.
  9. Scalability — Applications running on the OpenShift Container Platform can easily scale to thousands of instances across hundreds of nodes in a matter of seconds.
  10. Robust ecosystem — An ever-expanding ecosystem of partners provides a wide variety of integrations. These third parties provide additional storage and network providers, IDEs and CI integrations, independent software vendor (ISV) solutions, and more for use with the OpenShift Container Platform.
  11. Container portability — Built on a standardized Linux container model powered by Red Hat application programming interfaces (APIs), applications created on OpenShift Container Platform can easily run anywhere that supports Docker-formatted containers.

Medifé is a nonprofit organization in Argentina that provides affordable, comprehensive health insurance and connects customers to healthcare providers. Medifé teamed up with Red Hat to transform its legacy infrastructure and paper-based processes. Now, it can deliver new services and applications 92% faster — in months rather than years — and improved its speed to process 400% more invoices.

Problem — The organization was in serious need to digitize customer experience and improve responsiveness, it needed to deliver services faster and improve the time it took to implement process changes.

Solution -

Medifé shifted to Red Hat Consulting and adopted Red Hat technologies to build a container- and microservices-based foundation for applications, monitoring, and authentication. The organization built a new telemedicine platform to get care to vulnerable people more quickly, as well as a new billing system to create faster processing times and more responsive user experiences.

Helvetia is a successful insurance group that does business everywhere in Europe. The Group is headquartered in St.Gallen.

Problem — It faced challenges with availability and performance challenges while running its customer-facing applications on legacy, on-premise hardware.

Solution -

The company had used Red Hat JBoss Enterprise Application Platform (EAP) to build JavaTM applications running on-premise on its servers but needed to enhance its development capabilities to stay competitive in the increasingly crowded insurance market. Additionally, the company’s back-end systems lacked the availability to provide the instant response times expected by customers used to the high reliability of digital pioneers like Google and Facebook. It has achieved over 99.9% uptime for its services, reduced time to market from months to weeks, and built a path to reduce costs.

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